Bayesian Modeling: A statistical approach that incorporates prior knowledge with observed data through the use of probability distributions to yield updated inferences.

Exploratory data analysis (EDA) and Bayesian inference (or, more generally, complex statistical modeling)-which are generally considered as unrelated statistical paradigms-can be particularly ...

Most chatter about AI in other than research and academic institutions is about Machine Learning (ML) and various forms of neural nets and deep learning. Natural Language (speech recognition, language ...

When estimating DSGE models, the number of observable economic variables is usually kept small, and it is conveniently assumed that DSGE model variables are perfectly measured by a single data series.

On Friday the 11th of November 2022, PhD, M.Sc. Laura Uusitalo defends her PhD thesis on Bayesian network modelling of complex systems with sparse data: Ecological case studies. The thesis is related ...

Researchers from Nanyang Technological University have developed a novel framework that integrates worker self-reportsaZ with ...